PyMC VS Dask

Compare PyMC vs Dask and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
PyMC Dask
3 32
8,103 11,906
1.2% 1.6%
9.4 9.7
about 6 hours ago 6 days ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

PyMC

Posts with mentions or reviews of PyMC. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-06.
  • What is Probabilistic Programming?
    4 projects | /r/learnmachinelearning | 6 Sep 2021
    This tutorial explains what is probabilistic programming & provides a review of 5 frameworks (PPLs) using an example taken from Chapter 4 of Statistical Rethinking by Dr. Richard McElreath. Frameworks (PPLs) reviewed are - Stan (https://mc-stan.org/) PyMC3 (https://docs.pymc.io/) Tensorflow Probability (https://www.tensorflow.org/probability) Pyro/NumPyro (https://pyro.ai/) Turing.jl (https://turing.ml/stable/) I also provide the basic review of a great library called arviz (https://arviz-devs.github.io/arviz/), which can be used for all the above-mentioned PPLs to do Exploratory Data Analysis of Bayesian Models. Here is the link to the notebook in which I have implemented the example model using the above Frameworks/PPLs https://colab.research.google.com/drive/1zgR2b0j2waGi1ppnIe1rw7emkbBXtMqF?usp=sharing

Dask

Posts with mentions or reviews of Dask. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-15.

What are some alternatives?

When comparing PyMC and Dask you can also consider the following projects:

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Numba - NumPy aware dynamic Python compiler using LLVM

Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

NetworkX - Network Analysis in Python

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python

statsmodels - Statsmodels: statistical modeling and econometrics in Python

blaze - NumPy and Pandas interface to Big Data

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

stan - Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.